System and method of consuming and integrating with rest-based cloud and enterprise services
a cloud and enterprise service technology, applied in the field of data integration, can solve the problems of not being able to parse and compose documents, not being able to make multiple rest service calls, and traditional applications are generally not flexible enough to suppor
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[0019]Embodiments disclosed herein provide techniques for consuming and integrating with representational state transfer (REST) based services. The REST services may include cloud, enterprise, and NoSQL REST services. In one embodiment, a multiple-step extract, transform, load (ETL) job includes one or more REST steps. Each step in the ETL job performs a particular well-defined task, such as extracting data from a source, transforming the data to fit operational needs (e.g., composing a particular file such as an XML file), and loading the data into a target. The REST step in particular constructs REST requests, invokes REST services, and retrieves REST responses. For example, an ETL job to load a document to a cloud NoSQL database may include one REST step for logging into the NoSQL database by invoking a particular log-in REST service API which returns an authentication cookie, as well as another REST step which takes as input the authentication cookie and uses the authentication ...
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